Building a FlowEHR App
If you want to build an app that works safely with live patient data and/or ML Model predictions, share it securely with clinicians to inform their decision-making, and you don’t want to worry about managing any infrastructure and deployment logic, then you’re in the right place.
You can read more about the anatomy of FlowEHR apps here.
1 Getting started
1.1 Prerequisites
Speak to your friendly FlowEHR admin…
1.2 Choosing a template
Finding a seedling Cloning the repo and making some changes Serve-local to run + debug locally
2 Connecting to synthetic data
2.1 Local connectivity to Feature Store
2.2 Local connectivity to State Store
3 Calling model endpoints
4 App monitoring instrumentation
5 Deploying your app to a dev environment
5.1 PR to deployment branch
PR to app-dev branch. My work is deployed in dev. PR to staging / approval – my dashboard now runs in a prod environment with access to live data. I can see it [here].
5.2 Viewing the hosted site
5.3 Viewing logs and metrics
6 Deploying to staging & prod environments
Now I’m ready + others approve => It can go to prod here. I can share the link, and a clinician can securely log in via AAD